Package weka.classifiers.evaluation

Interface Prediction

  • All Known Implementing Classes:
    NominalPrediction, NumericPrediction
    public interface Prediction
    Encapsulates a single evaluatable prediction: the predicted value plus the actual class value.
    Version:
    $Revision: 1.7 $
    Author:
    Len Trigg (len@reeltwo.com)

    • Field Summary

      Fields 
      Modifier and Type Field Description
      static double MISSING_VALUE
      Constant representing a missing value.

    • Field Detail

      • MISSING_VALUE

        static final double MISSING_VALUE
        Constant representing a missing value. This should have the same value as weka.core.Instance.MISSING_VALUE

    • Method Detail

      • weight

        double weight()
        Gets the weight assigned to this prediction. This is typically the weight of the test instance the prediction was made for.
        Returns:
        the weight assigned to this prediction.

      • actual

        double actual()
        Gets the actual class value.
        Returns:
        the actual class value, or MISSING_VALUE if no prediction was made.

      • predicted

        double predicted()
        Gets the predicted class value.
        Returns:
        the predicted class value, or MISSING_VALUE if no prediction was made.